code: def correct_dtype(cls, dtypes):
      @parameter_space(dtype_=dtypes)
      def test(self, dtype_):
          class Correct(cls):
              missing_value = missing_values.get(dtype_, NotSpecified)
              inputs = []
              window_length = 1
              dtype = dtype_
  
          # construct an instance to make sure the valid dtype checks out
          self.assertEqual(Correct().dtype, dtype_)
  
      return test
  
file_path: zipline/tests/pipeline/test_dtypes.py
imports: from zipline.errors import UnsupportedDataType
  from zipline.pipeline import CustomClassifier, CustomFactor, CustomFilter
  from zipline.pipeline.dtypes import CLASSIFIER_DTYPES, FACTOR_DTYPES, FILTER_DTYPES
  from zipline.pipeline.sentinels import NotSpecified
  from zipline.testing import parameter_space
  from zipline.testing.fixtures import ZiplineTestCase
  from zipline.utils.numpy_utils import int64_dtype, bool_dtype
label_desc: Use image node_id 1 for calling the DtypeTestCase obj's underlying member method code with example usage: obj.correct_dtype(cls, dtypes) and returns: test